Читать книгу Profit Maximization Techniques for Operating Chemical Plants - Sandip K. Lahiri - Страница 10

In chemical process industries there is an ongoing need to reduce the cost of production and increase the profit margin. Due to cut‐throat competition at the global level, the major chemical process industries are now competing to optimize raw material and utility consumption, to increase equipment and process performance, to reduce emissions, and to minimize pollution.

Profit maximization is the buzzword of today's chemical process industries. Profit maximization in running chemical plants itself is a huge challenge, which needs to be addressed by holistic vision and procedures. However, there are no dedicated books available to discuss basic concepts, provide practical methods, and explain industrial application procedures.

This book is written to fill this gap with the following people in mind: practicing process or chemical engineers, production engineers, supervisors, senior technicians working in chemical, petrochemical, pharmaceuticals, paper and pulp, oil and gas companies, and petroleum refinery across the globe. This book will also become very useful for large numbers of managers, general managers, top‐level senior executives, and senior technical service consultants, whose main jobs include strategic planning and implementation of various optimization projects to increase profit in chemical process industries. Undergraduate and postgraduate chemical engineering students and business students who want to pursue careers in the chemical field will also greatly benefit from this book. The book is aimed at providing practical tools to people who face challenges and wish to find opportunities for improving profit in running chemical plants. It aims to convey concepts, theories, and methods in a straightforward and practical manner.

This book provides engineers in all practical aspects of a profit maximization project in running plants, as well as expert guidance on how to derive maximum benefits. The book will present the core of a systematic approach covering profit optimization strategy, solution methodology, supporting structure, and assessment methods. In short, it will describe what it takes to make sizable reductions in operating costs for process plants and how to sustain profit improvement benefits.

Short on theory and long on step‐by‐step information, it covers everything plant process engineers and technical managers need to know about identifying, building, deploying, and managing profit improvement applications in their companies. Readers are able to take away methods and techniques for identifying, analysis, optimization, engineering design, and monitoring that are required to identify, assess, implement, and sustain profit improvement opportunities.

The main feature of this book, which differentiates it from other available books on the market, is its practical content, which helps the reader to understand all the steps of profit maximization project implementation in an actual commercial plant. The key features of this book that differentiate it from other available chemical engineering books are summarized below:

 The reader can develop a thorough understanding of steps for building a profit maximization application in running a chemical plant. All practical considerations to identify, build, and deploy a profit improvement project in the commercial running of the plant form the essence of this book.

 The benefits of this effective approach include identification of large profit improvement projects by applying assessment methods, capturing hidden opportunities in process operation by the use of advance monitoring and fault diagnosis, increasing plant capacity by a systematic way of performing a test run and debottlenecking study, optimizing process performance through various online conventional and stochastic optimization procedures, pushing the plant operation towards multiple constraints by advance process control, and maintaining continuous improvement by using regular review and performance matrices.